Predicting the kinetic coordination of immune response dynamics in SARS-CoV-2 infection: implications for disease pathogenesis
D Grebennikov, A Karsonova, M Loguinova, V Casella… - Mathematics, 2022 - mdpi.com
A calibrated mathematical model of antiviral immune response to SARS-CoV-2 infection is
developed. The model considers the innate and antigen-specific responses to SARS-CoV-2 …
developed. The model considers the innate and antigen-specific responses to SARS-CoV-2 …
Global stability of a humoral immunity COVID-19 model with logistic growth and delays
The mathematical modeling and analysis of within-host or between-host coronavirus
disease 2019 (COVID-19) dynamics are considered robust tools to support scientific …
disease 2019 (COVID-19) dynamics are considered robust tools to support scientific …
A simple in-host model for COVID-19 with treatments: Model prediction and calibration
I Al-Darabsah, KL Liao, S Portet - Journal of Mathematical Biology, 2023 - Springer
In this paper, we provide a simple ODEs model with a generic nonlinear incidence rate
function and incorporate two treatments, blocking the virus binding and inhibiting the virus …
function and incorporate two treatments, blocking the virus binding and inhibiting the virus …
How robust are estimates of key parameters in standard viral dynamic models?
Mathematical models of viral infection have been developed, fitted to data, and provide
insight into disease pathogenesis for multiple agents that cause chronic infection, including …
insight into disease pathogenesis for multiple agents that cause chronic infection, including …
Stability of a delayed SARS-CoV-2 reactivation model with logistic growth and adaptive immune response
This paper develops and analyzes a SARS-CoV-2 dynamics model with logistic growth of
healthy epithelial cells, CTL immune and humoral (antibody) immune responses. The model …
healthy epithelial cells, CTL immune and humoral (antibody) immune responses. The model …
A quantitative systems pharmacology model of the pathophysiology and treatment of COVID-19 predicts optimal timing of pharmacological interventions
A quantitative systems pharmacology (QSP) model of the pathogenesis and treatment of
SARS-CoV-2 infection can streamline and accelerate the development of novel medicines to …
SARS-CoV-2 infection can streamline and accelerate the development of novel medicines to …
Personalized virus load curves for acute viral infections
We introduce an explicit function that describes virus-load curves on a patient-specific level.
This function is based on simple and intuitive model parameters. It allows virus load analysis …
This function is based on simple and intuitive model parameters. It allows virus load analysis …
Computational framework to understand the clinical stages of COVID‐19 and visualization of time course for various treatment strategies
Coronavirus disease 2019 is known to be regulated by multiple factors such as delayed
immune response, impaired T cell activation, and elevated levels of proinflammatory …
immune response, impaired T cell activation, and elevated levels of proinflammatory …
The basic reproduction number and delayed action of T cells for patients infected with SARS-CoV-2
Y Yin, Y Xi, C Xu, Q Sun - Mathematics, 2022 - mdpi.com
COVID-19 has been prevalent for the last two years. The transmission capacity of SARS-
CoV-2 differs under the influence of different epidemic prevention policies, making it difficult …
CoV-2 differs under the influence of different epidemic prevention policies, making it difficult …
Topological data analysis of antibody dynamics of severe and non-severe patients with COVID-19
R Blanco-Rodríguez, F Ordoñez-Jiménez… - Mathematical …, 2023 - Elsevier
The COVID-19 pandemic is a significant public health threat with unanswered questions
regarding the immune system's role in the disease's severity level. Here, based on antibody …
regarding the immune system's role in the disease's severity level. Here, based on antibody …